Complementary assistance mechanisms for end user mashup composition

Authors:
Soudip Roy Chowdhury;Olexiy Chudnovskyy;Matthias Niederhausen;Stefan Pietschmann;Paul Sharples;Florian Daniel;Martin Gaedke
Affiliations:
University of Trento, Trento, Italy;Chemnitz University of Technology, Chemnitz, Germany;T-Systems MMS, Dresden, Germany;T-Systems MMS / TU Dresden, Dresden, Germany;University of Bolton, Bolton, United Kingdom;University of Trento, Trento, Italy;Chemnitz University of Technology, Chemnitz, Germany
Venue:
Proceedings of the 22nd international conference on World Wide Web companion
Year:
2013

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Abstract

Despite several efforts for simplifying the composition process, learning efforts required for using existing mashup editors to develop mashups remain still high. In this paper, we describe how this barrier can be lowered by means of an assisted development approach that seamlessly integrates automatic composition and interactive pattern recommendation techniques into existing mashup platforms for supporting easy mashup development by end users. We showcase the use of such an assisted development environment in the context of an open-source mashup platform Apache Rave. Results of our user studies demonstrate the benefits of our approach for end user mashup development.